Instructions to use Lazyhope/unixcoder-nine-advtest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lazyhope/unixcoder-nine-advtest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Lazyhope/unixcoder-nine-advtest")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Lazyhope/unixcoder-nine-advtest") model = AutoModel.from_pretrained("Lazyhope/unixcoder-nine-advtest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
ccd34fc | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ec359ccef197b85f9cea791cc2af5728aafd1adcd06713e2a3fb8290c43df3e3
size 503791405
|